Description: 本平台包括语音的录制、播放、保存以及情感计算等功能，您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块，如果您有现成的语音文件，您可以单击打开按钮，打开您要判断的语句，然后选择相应的功能。
如果您打开的是正常语音文件，请选择清浊分辨，然后再进行特征参数和情感计算；如果您打开的是鼾声，请选择鼾声分辨，并输入您想要的判别门限，然后再进行特征参数等的计算；如果您没有选择上面两个按钮，计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理，所以如果您要进行情感计算，请先进行清浊音判断，否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct Platform: |
Size: 82435 |
Author:beijingolympic.hi |
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Description: 用于语音情感识别软件中所需的声音文件,文件格式为MP3,包括悲伤,愤怒,高兴,惊恐,平静等声音资料.-for Emotional Speech Recognition Software for the voice paper for the MP3 format, including sadness, anger, happiness, Panic, calm voice, and other information. Platform: |
Size: 118707 |
Author:beijingolympic.hi |
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Description: 本平台包括语音的录制、播放、保存以及情感计算等功能，您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块，如果您有现成的语音文件，您可以单击打开按钮，打开您要判断的语句，然后选择相应的功能。
如果您打开的是正常语音文件，请选择清浊分辨，然后再进行特征参数和情感计算；如果您打开的是鼾声，请选择鼾声分辨，并输入您想要的判别门限，然后再进行特征参数等的计算；如果您没有选择上面两个按钮，计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理，所以如果您要进行情感计算，请先进行清浊音判断，否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct Platform: |
Size: 81920 |
Author:beijingolympic.hi |
Hits:
Description: 用于语音情感识别软件中所需的声音文件,文件格式为MP3,包括悲伤,愤怒,高兴,惊恐,平静等声音资料.-for Emotional Speech Recognition Software for the voice paper for the MP3 format, including sadness, anger, happiness, Panic, calm voice, and other information. Platform: |
Size: 118784 |
Author:beijingolympic.hi |
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Description: 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能，包括主题分类（Top Classification）、命名实体识别（Named Entity Recognition）、词性标注（Part-of Speech Tagging）、句题检测（Sentence Detection）、查询拼写检查（Query Spell Checking）、兴趣短语检测（Interseting Phrase Detection）、聚类（Clustering）、字符语言建模（Character Language Modeling）、医学文献下载/解析/索引（MEDLINE Download, Parsing and Indexing）、数据库文本挖掘（Database Text Mining）、中文分词（Chinese Word Segmentation）、情感分析（Sentiment Analysis）、语言辨别（Language Identification）等API。-A natural language processing of the Java open-source toolkit. LingPipe currently have a lot of useful features, including Subject Classification (Top Classification), Named Entity Recognition (Named Entity Recognition), part of speech tagging (Part-of Speech Tagging), sentence detection problem (Sentence Detection), spell-checking query (Query Spell Checking), interest in the phrase detection (Interseting Phrase Detection), Cluster (Clustering), Character Modeling Language (Character Language Modeling), medical literature to download/analysis/index (MEDLINE Download, Parsing and Indexing), text mining database (Database Text Mining), Chinese word segmentation (Chinese Word Segmentation), emotional analysis (Sentiment Analysis), language identification (Language Identification), such as API. Platform: |
Size: 4669440 |
Author:张国栋 |
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Description: understand the triangul
[voiceEmotionMP3.rar] - for Emotional Speech Recognition Software for the voice paper for the MP3 format, including sadness, anger, happiness, Panic, calm voice, and other in
[speakerprotected1.rar] - Matlab procedure Platform: |
Size: 1024 |
Author:mehdi |
Hits:
Description: understand the triangul
[voiceEmotionMP3.rar] - for Emotional Speech Recognition Software for the voice paper for the MP3 format, including sadness, anger, happiness, Panic, calm voice, and other in
[speakerprotected1.rar] - Matlab procedure Platform: |
Size: 3072 |
Author:mehdi |
Hits:
Description: understand the triangul
[voiceEmotionMP3.rar] - for Emotional Speech Recognition Software for the voice paper for the MP3 format, including sadness, anger, happiness, Panic, calm voice, and other in
[speakerprotected1.rar] - Matlab procedure Platform: |
Size: 1024 |
Author:mehdi |
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Description: 全面的介绍了情感语音合成的知识，比较系统-Comprehensive introduction to the knowledge of the emotional speech synthesis, more systematic Platform: |
Size: 71680 |
Author:乔建 |
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Description: 本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。
实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。
该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。
-This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0.
The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics Platform: |
Size: 6241280 |
Author:相容 |
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Description: 语音信号处理__赵力。共分十二章，内容包括：绪论、语音信号处理的基础知识、语音信号的分析技术、语音信号的矢量量化、隐马尔可夫模型技术、神经网络在语音信号处理中的应用、语音编码、语音合成、语音识别、说话人识别和语种辨识技术、语音信号的情感信息处理技术、语音增强技术-Voice signal processing __ Zhao. Divided into 12 chapters, including: the introduction, the basics of voice signal processing, speech signal analysis techniques, the speech signal vector quantization and hidden Markov model, neural network applications in speech signal processing, speech coding, speech synthesis, speech recognition, speaker recognition and language identification technology, the voice signal emotional information processing technology, speech enhancement technology Platform: |
Size: 9973760 |
Author:luocw138 |
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Description: Speech Emotion Recognition: Comparison of Speech Segmentation Approaches
-Recognition of emotional states carried in speech, is of a great interest in modern human computer interaction developments. Platform: |
Size: 68608 |
Author:王玉 |
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Description: 介绍了语音情感识别系统的组成, 重点对情感特征和识别算法的研究现状进行了综述, 分析了主
要的语音情感特征, 阐述了代表性的语音情感识别算法以及混合模型, 并对其进行了分析比较。最后, 指出了语音情感识别技术的可能发展趋势-Speech emotion recognition system composed Research focus on emotional characteristics and recognition algorithms are reviewed, the analysis of the main voice emotional characteristics of a representative of the speech emotion recognition algorithm as well as hybrid model and its analysis comparison. Finally, it is pointed out that the speech emotion recognition technology possible trends Platform: |
Size: 186368 |
Author:wll |
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Description: 这是一款采用Matlab编写的语音识别界面，对情感语音进行模板培训。运行main.m，在界面选择待测试音频文件，运行后即可在界面看到检测结果。(This is a speech recognition interface written in matlab, which trains emotional speech template. Run main.m and select the audio files to be tested in the interface. After running, the test results can be seen in the interface.) Platform: |
Size: 8192 |
Author:meiying6526 |
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Search - emotional speech